OsakavsTokyoOsaka vs Tokyo: cost, quality of life, and the winner
Osaka (composite 5.9) vs Tokyo (composite 5.9). Side-by-side on affordability, quality of life, remote-work friendliness and healthcare — with the calculation behind each score.
Composite scores
Overall: Osaka wins by 0.0 points
Osaka scores identically to Tokyo at 5.9, yet takes the win—suggesting comparable quality but likely better value or less crowding for the same livability metrics.
Tokyo dominates global rankings despite matching Osaka's score here, indicating this dataset weights factors like affordability or neighborhood livability over size and prestige.
If you're choosing between them, visit both neighborhoods you'd actually live in rather than relying on aggregate scores—the real difference lies in daily experience, not decimals.
Score-by-score, side-by-side
Each axis is scored independently with disclosed weights and a calculation string.
| Axis | Osaka | Tokyo | Winner |
|---|---|---|---|
| Affordability | 3.8 | 2.9 | Osaka +0.9 |
| Quality of life | 7.4 | 8.0 | Tokyo +0.6 |
| Remote-work friendliness | 7.1 | 7.3 | Tokyo +0.2 |
| Healthcare | 5.5 | 5.6 | Tokyo +0.1 |
Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.
Affordability
- Cost-of-living index (weight 60%)70
- Rent index (weight 40%)50
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Osaka: ((100 − 70)/100 × 0.6 + (100 − 50)/100 × 0.4) × 10 = 3.8.
Osaka is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.
Quality of life
- Safety index (weight 40%)80
- Healthcare index (weight 35%)78
- Air quality index (weight 25%)60
How this is calculated
QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Osaka: (80/100 × 0.4 + 78/100 × 0.35 + 60/100 × 0.25) × 10 = 7.4.
Osaka scores excellent on safety, good on healthcare and good on air. The composite quality-of-life signal is strong.
Remote-work friendliness
- Internet (median Mbps) (weight 45%)250 Mbps
- Effective income tax (lower = better) (weight 30%)12.0%
- Cost-of-living (lower = better) (weight 25%)70
How this is calculated
RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Osaka: (min(250/300, 1) × 0.45 + (1 − 0.12) × 0.3 + (100 − 70)/100 × 0.25) × 10 = 7.1.
Osaka combines fast internet (250 Mbps median), a 12% effective income tax and cost index 70 — a strong configuration for remote workers earning in a stronger currency.
Healthcare
- Healthcare quality index (weight 70%)78
- Healthcare out-of-pocket / month (lower = better) (weight 30%)3500
How this is calculated
Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Osaka: (78/100 × 0.7 + max(0, 1 − 3500/500) × 0.3) × 10 = 5.5.
Osaka has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~3500 JPY/month. Cross-border insurance closes the gap.
Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.
Affordability
- Cost-of-living index (weight 60%)82
- Rent index (weight 40%)55
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Tokyo: ((100 − 82)/100 × 0.6 + (100 − 55)/100 × 0.4) × 10 = 2.9.
Tokyo is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.
Quality of life
- Safety index (weight 40%)85
- Healthcare index (weight 35%)80
- Air quality index (weight 25%)70
How this is calculated
QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Tokyo: (85/100 × 0.4 + 80/100 × 0.35 + 70/100 × 0.25) × 10 = 8.
Tokyo scores excellent on safety, excellent on healthcare and good on air. The composite quality-of-life signal is strong.
Remote-work friendliness
- Internet (median Mbps) (weight 45%)280 Mbps
- Effective income tax (lower = better) (weight 30%)12.0%
- Cost-of-living (lower = better) (weight 25%)82
How this is calculated
RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Tokyo: (min(280/300, 1) × 0.45 + (1 − 0.12) × 0.3 + (100 − 82)/100 × 0.25) × 10 = 7.3.
Tokyo combines fast internet (280 Mbps median), a 12% effective income tax and cost index 82 — a strong configuration for remote workers earning in a stronger currency.
Healthcare
- Healthcare quality index (weight 70%)80
- Healthcare out-of-pocket / month (lower = better) (weight 30%)4000
How this is calculated
Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Tokyo: (80/100 × 0.7 + max(0, 1 − 4000/500) × 0.3) × 10 = 5.6.
Tokyo has trade-offs in healthcare: quality is excellent, typical out-of-pocket cost is ~4000 JPY/month. Cross-border insurance closes the gap.
Monthly cost delta: Osaka vs Tokyo
Normalized to JPY at 1 JPY = 1.0000 JPY.
| Category | Osaka | Tokyo | Change |
|---|---|---|---|
| housing | ¥100,000 | ¥150,000 | +50% |
| food | ¥42,000 | ¥48,000 | +14% |
| transport | ¥9,000 | ¥11,000 | +22% |
| utilities | ¥13,000 | ¥14,000 | +8% |
| leisure | ¥25,000 | ¥30,000 | +20% |
| healthcare | ¥3,500 | ¥4,000 | +14% |
Where each city's money goes
Two cities can have the same monthly total but very different shapes — one might burn 50% on housing while the other splits more evenly. The composition matters as much as the headline.
The biggest shape difference is housing: Tokyo spends 6.4 percentage points more of its budget on it (58% vs. 52%). If you're sensitive to that category, weight the per-axis scores accordingly.
Salary equivalence: Osaka ↔ Tokyo
What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (Osaka = 70, Tokyo = 82); currency-converted at 1 JPY = 1.0000 JPY. Tax differences are not modeled.
| Osaka gross | Tokyo equivalent |
|---|---|
| ¥40,000 | ¥46,857 |
| ¥75,000 | ¥87,857 |
| ¥120,000 | ¥140,571 |
| Tokyo gross | Osaka equivalent |
|---|---|
| ¥40,000 | ¥34,146 |
| ¥75,000 | ¥64,024 |
| ¥120,000 | ¥102,439 |
Equivalence here means same cost-of-living purchasing power, not same net take-home. Effective tax rates differ between countries; a salary equivalent on cost can still net more or less depending on the destination's tax regime. Use the calculator for tax-adjusted figures at a specific lifestyle tier.
Pros and cons
Why pick Osaka
- Wins on affordability (+0.9 points vs Tokyo).
Why pick Tokyo
- Wins on quality of life (+0.6 points vs Osaka).
Osaka trade-offs
- Trails Tokyo on quality of life by 0.6 points.
Tokyo trade-offs
- Trails Osaka on affordability by 0.9 points.
Who should choose which
The composite winner doesn't always match what matters to you. These four reader profiles weigh the axes differently — find the closest fit.
Single, salaried remote worker, 25-40, optimizing for runway + bandwidth.
Axes scored: affordability, remoteWork
Couple with school-age children, prioritizing safety, healthcare, and air quality.
Axes scored: qualityOfLife, healthcare
Fixed income, healthcare-sensitive, prefers low cost and stable infrastructure.
Axes scored: healthcare, qualityOfLife, affordability
Salary stretch matters most. Cuts everything else if it lowers the burn rate.
Axes scored: affordability
Profiles use simple axis averaging — for a deeper read with your own weights, use the per-axis breakdown above.
Going deeper
Visa landscape for both countries — and case studies that touch this corridor.
Tools that work for either choice
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How this page is calculated
Data sources
- Mundevo per-city dataset. Cost basket, rent index, safety, healthcare, air quality and median internet for both cities. Reference date: 2026-05-28 (Osaka) and 2026-05-27 (Tokyo).
- FX rate. 1 JPY = 1.0000 JPY, used to normalize cost baskets.
- CityScoreCalculator. Four axes (Affordability, Quality of life, Remote work, Healthcare) computed with explicit weights and explanations. See per-axis calculation strings rendered on this page.
- ComparisonService. Per-category cost deltas (housing, food, transport, utilities, leisure, healthcare) normalized to the origin currency.
Update cadence
Data as of . Last reviewed .
Calculation
For each of the four axes we compute an independent 0–10 score using the formulas printed beside each axis. The composite is the unweighted mean of the four axes. The overall winner is the city with the higher composite, unless the margin is under 0.05 points — in which case Osaka is shown first as a tiebreaker to keep results stable.
Limitations
- Climate is not scored — we don't yet hold a maintained climate dataset, so weather-driven preferences are not modeled.
- Tax differences between cities in the same country are not modeled (Spain and Germany don't have material regional differences for this dataset).
- Indices are population-level. Personal cost varies with neighborhood, employer benefits and family status.
- Quality-of-life axis weights (safety 0.4 / healthcare 0.35 / air 0.25) are editorial defaults — readers with strong preferences should re-weight manually.
Frequently asked questions
Osaka vs Tokyo: which is cheaper?
Osaka is roughly 34% cheaper than Tokyo on the monthly cost basket (housing, food, transport, utilities, healthcare). Osaka has cost index 70 vs Tokyo at 82 (both with New York = 100).
Which city has better quality of life?
Osaka scores 5.9/10 on the Mundevo composite versus Tokyo at 5.9/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Osaka wins overall by 0.0 points.
Is Osaka or Tokyo better for remote work?
Osaka has 250 Mbps median internet vs Tokyo at 280 Mbps. The four-axis decision rubric on this page (affordability, quality of life, remote work, healthcare) gives a per-dimension breakdown rather than a single answer.